Agenda Highlights
Discover how QSAR, ADMET, and 3D structure-based methods can be orchestrated within Makya to drive fast and balanced optimization of TYK2 inhibitors. This use case illustrates how to apply and weight different modeling strategies effectively, improving both design quality and project velocity.
Speaker
Stefani Gamboa
Application Scientist, Iktos
Stefani Gamboa is a pharmaceutical and computational chemist by training. She holds a degree in Pharmaceutical Chemistry and a PhD in theoretical and bioinorganic chemistry, with a focus on quantum bioinorganic systems. Her doctoral research centered on the experimental design and theoretical modeling of polynuclear copper complexes, serving as bioinspired models for copper-containing enzymes with applications in catalysis and magnetic materials. Stefani gained industry experience at GlaxoSmithKline before moving into her current role as an Application Scientist at Iktos, where she works at the intersection of drug discovery, generative AI, and computational chemistry.
